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Connectors / Integration

Connect LivePerson and Zendesk to Bring Conversational AI and Customer Support Together

Stop losing context between AI-powered messaging and your helpdesk. Get faster resolutions without the manual handoffs.

LivePerson + Zendesk integration

LivePerson and Zendesk do different jobs. LivePerson handles proactive, AI-powered conversations across messaging channels. Zendesk manages tickets, agent workflows, and longer support resolutions. When you connect them, every chat, bot interaction, or messaging thread can flow into a Zendesk ticket complete with conversation history, routed to the right team automatically. The context gaps that frustrate agents and customers alike just go away.

When LivePerson and Zendesk run separately, things fall apart fast. Agents in Zendesk can't see prior chat transcripts. Bot escalations arrive without history. Sentiment data collected in LivePerson never touches the Zendesk contact record. Connecting them through tray.ai automates the handoff between conversational AI and structured ticketing — every escalation carries full context, every resolved chat updates the right ticket, and customer data stays consistent across both systems. Resolution times drop, agents get more done, and customers stop feeling like they're starting over every time.

Automate & integrate LivePerson + Zendesk

Automating LivePerson and Zendesk business processes or integrating data is made easy with Tray.ai.

liveperson
zendesk

Use case

Automatic Ticket Creation from LivePerson Escalations

When a LivePerson bot or live agent decides a conversation needs formal follow-up, tray.ai creates a Zendesk ticket populated with the full chat transcript, contact details, and intent classification. No escalated conversation gets dropped, and agents have everything they need before they type a single word. The ticket is tagged, prioritized, and routed to the right Zendesk group without anyone touching it manually.

  • Eliminates manual copy-pasting of chat transcripts into Zendesk tickets
  • Keeps ticket tagging and routing consistent based on LivePerson intent data
  • Cuts average handle time by giving agents immediate conversation context
liveperson
zendesk

Use case

Real-Time Zendesk Ticket Status Updates Back to LivePerson

After a ticket is created in Zendesk, customers often keep messaging through LivePerson expecting updates. tray.ai watches Zendesk for ticket status changes and pushes updates into the active LivePerson conversation thread, so customers stay informed without agents juggling two platforms at once. Fewer 'any updates?' messages follow.

  • Reduces repetitive status inquiries in LivePerson
  • Keeps customers in their preferred messaging channel
  • Frees Zendesk agents from manually updating LivePerson conversations
liveperson
zendesk

Use case

Unified Customer Profile Sync Between LivePerson and Zendesk

Contact data created or updated in LivePerson — new customer identifiers, phone numbers, custom attributes — syncs automatically to the matching Zendesk user profile. Both systems stay current, and agents always work from accurate data. tray.ai handles field mapping between the two platforms' different schemas without any custom code.

  • Maintains a single source of truth for customer contact data across both platforms
  • Stops agents from working with stale or mismatched customer information
  • Eliminates duplicate contact records from manual data entry
liveperson
zendesk

Use case

Bot Conversation Summaries Attached to Zendesk Tickets

LivePerson's Conversational AI often handles the first part of an interaction before a human takes over. tray.ai pulls structured summaries — identified intent, entities, resolution attempts — from LivePerson and attaches them as internal notes on the Zendesk ticket. Agents know immediately what the bot already tried, what the customer needs, and where to start.

  • Cuts agent ramp-up time on escalated conversations by surfacing bot-collected context
  • Reduces customer frustration from repeating information they already gave the bot
  • Enables quality analysis of bot-to-agent handoff effectiveness in Zendesk
liveperson
zendesk

Use case

CSAT and Sentiment Data Flowing into Zendesk Analytics

LivePerson collects sentiment signals and post-conversation CSAT scores during and after messaging interactions. tray.ai pipes this data into Zendesk as custom ticket fields or satisfaction ratings, giving support managers a unified view of customer sentiment across both channels. Reporting gets more meaningful, and coaching opportunities are easier to spot.

  • Consolidates satisfaction and sentiment metrics in Zendesk dashboards
  • Enables cross-channel CSAT comparison without manual data exports
  • Surfaces at-risk customer segments based on combined sentiment data
liveperson
zendesk

Use case

SLA-Triggered Messaging Outreach via LivePerson

When a Zendesk ticket is close to an SLA breach, tray.ai fires a proactive outbound message through LivePerson to notify the customer and set expectations before the deadline is missed. The message is dynamically populated with ticket details, estimated resolution time, and agent name — no manual drafting required.

  • Reduces SLA breach complaints by getting ahead of delays proactively
  • Uses LivePerson's high-engagement messaging channels for time-sensitive notifications
  • Automates outreach that would otherwise require manual agent action

Challenges Tray.ai solves

Common obstacles when integrating LivePerson and Zendesk — and how Tray.ai handles them.

Challenge

Schema and Data Model Mismatches Between Platforms

LivePerson and Zendesk organize data differently at a fundamental level. LivePerson works around conversations, skills, and intents. Zendesk structures everything around tickets, organizations, and groups. Mapping fields manually between them is error-prone, and both platforms change often enough that those mappings need constant attention.

How Tray.ai helps

tray.ai's visual data mapper lets teams define precise field-level mappings between LivePerson and Zendesk schemas without writing code. Those mappings are version-controlled and can be updated immediately when either platform changes, so you're not chasing breaking changes across brittle point-to-point integrations.

Challenge

Managing Conversation-to-Ticket Deduplication

Without deduplication logic, a single LivePerson conversation can spawn multiple Zendesk tickets — especially when conversations transfer between agents or retry logic fires duplicate events. The result is a noisy queue and agents unsure which ticket actually represents the customer's issue.

How Tray.ai helps

tray.ai workflows run idempotency checks by storing conversation IDs and looking up existing tickets before creating new ones. Configurable deduplication logic maps repeat LivePerson events to the correct existing Zendesk ticket rather than generating duplicates, keeping queues clean.

Challenge

Handling High-Volume Real-Time Event Streams

LivePerson fires high-frequency webhooks during peak periods — conversation started, message sent, transfer initiated, conversation closed — and keeping Zendesk in sync with all of them reliably requires queue management and error handling that's genuinely hard to build and maintain yourself.

How Tray.ai helps

tray.ai processes LivePerson webhooks asynchronously with built-in retry logic, error alerting, and execution logs. Every event is visible, transient failures retry automatically, and events that need manual review go to a dead-letter queue — without any infrastructure management on your end.

Templates

Pre-built workflows for LivePerson and Zendesk you can deploy in minutes.

LivePerson Escalation to Zendesk Ticket with Full Transcript

LivePerson LivePerson
Zendesk Zendesk

Automatically creates a Zendesk support ticket whenever a LivePerson conversation is escalated, attaching the full chat transcript, customer identifiers, and bot-detected intent as ticket fields and internal notes.

Zendesk Ticket Status Change Notification in LivePerson

Zendesk Zendesk
LivePerson LivePerson

Watches Zendesk tickets for status changes and sends an automated message to the customer in the matching LivePerson conversation thread to keep them informed in real time.

Bidirectional Customer Profile Sync: LivePerson and Zendesk

LivePerson LivePerson
Zendesk Zendesk

Keeps customer contact records in sync between LivePerson and Zendesk by detecting new or updated user profiles in either system and pushing changes to the other, with conflict resolution logic for field-level discrepancies.

Zendesk SLA Breach Alert via LivePerson Proactive Messaging

Zendesk Zendesk
LivePerson LivePerson

Watches Zendesk ticket SLA policies and fires a proactive outbound LivePerson message to the customer when a ticket is within a configurable threshold of a breach, with a status update and estimated resolution time.

Post-Resolution LivePerson Survey Triggered by Zendesk Ticket Closure

Zendesk Zendesk
LivePerson LivePerson

When a Zendesk ticket moves to solved, automatically starts a follow-up survey conversation in LivePerson and writes responses back to the Zendesk ticket as comments.

LivePerson CSAT and Sentiment Score Sync to Zendesk

LivePerson LivePerson
Zendesk Zendesk

Pulls post-conversation CSAT ratings and sentiment scores from LivePerson and writes them to custom fields on the matching Zendesk ticket, so satisfaction reporting works across both platforms in one place.

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